CN112665554A - Method and system for generating orthoimage - Google Patents
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Abstract
The application relates to a generation method and a system of an ortho-image, wherein, the generation method of the ortho-image shoots a plurality of ortho-images of regions to be shot through controlling an unmanned aerial vehicle aerial-shooting module, the plurality of ortho-images are spliced together, the ortho-image of the regions to be shot is generated, finally the ortho-image formed by splicing is subjected to tile segmentation and slice storage, the ortho-image is generated in a mode of shooting through the unmanned aerial vehicle, not only the trouble of obtaining images through satellites is avoided, operation can be carried out at any time, high-definition ground images are generated on line, but also local tile data can be updated on line, light-weighted local dynamic updating is realized, and updating is real-time and very convenient.
Description
Technical Field
The present application relates to the field of remote sensing image technology, and in particular, to a method and a system for generating an ortho image.
Background
The Digital ortho-Map (DOM) is an image with Map geometric precision and image characteristics, has the advantages of high precision, rich information, intuition, vividness, rapidness in acquisition and the like, can be used as Map analysis background control information, can extract historical information or latest information of natural resources and social and economic development from the Map analysis background control information, provides a reliable basis for application of disaster prevention and control, public facility construction planning and the like, and can extract and send new information from the Map analysis background control information to realize Map repair, measurement and update.
The traditional digital orthophoto map mainly acquires image data through a remote sensing satellite, is influenced by non-negligible geographic factors such as atmosphere and height to generate large errors, has low image precision, and cannot meet the precision requirement aiming at high-precision professional surveying and mapping operation.
The main problem is that the conventional digital orthophoto map cannot update the orthophoto data in the working area in time and partially. The reason is that the digital orthophoto map is acquired by remote sensing satellite, so the updating cost is high, and the digital orthophoto map can only be updated regularly and cannot be updated in real time. In the updating process, the digital orthophoto maps of all regions also need to be updated completely, and the local updating cannot be realized. Therefore, the conventional digital orthophoto map has too large limitation in use.
Disclosure of Invention
Accordingly, it is necessary to provide a method and a system for generating an ortho image, aiming at the problem that the conventional digital ortho image cannot be updated in time and in real time.
The application provides a method for generating an orthoimage, which comprises the following steps:
calculating the positive shooting coverage range of the unmanned aerial vehicle aerial shooting module and the number of positive photos to be shot;
sending a shooting instruction to the unmanned aerial vehicle aerial shooting module to control the unmanned aerial vehicle aerial shooting module to shoot a photo; a camera lens of the unmanned aerial vehicle aerial photographing module is perpendicular to the ground of an area to be photographed;
acquiring photo attributes of the photos through an unmanned aerial vehicle aerial photo module;
judging whether the photo is a positive photo;
repeatedly executing the steps of sending a shooting instruction to the unmanned aerial vehicle aerial shooting module to judge whether the photo is a positive photo or not until the number of photos shot by the unmanned aerial vehicle aerial shooting module reaches the number of positive photos to be shot;
calculating the four-to-range of each photo by adopting a four-to-range operation method according to the photo attribute of each photo;
acquiring photos shot by all unmanned aerial vehicle aerial photographing modules through the unmanned aerial vehicle aerial photographing modules, splicing the photos shot by all unmanned aerial vehicle aerial photographing modules together, and generating an orthoimage;
and performing tile segmentation and slice storage on the spliced orthoimages.
Further, calculate unmanned aerial vehicle aerial photography module's the coverage of taking a photograph to and the quantity of the photograph of taking a photograph of needs, include:
acquiring a preset photo precision requirement;
determining the shooting height of the unmanned aerial vehicle aerial shooting module according to the preset photo precision requirement;
calculating the positive shooting coverage range of the unmanned aerial vehicle aerial shooting module according to the shooting height of the unmanned aerial vehicle aerial shooting module and the parameters of the unmanned aerial vehicle aerial shooting module;
the coverage area of the area to be shot is obtained, and the number of the positive photos to be shot is calculated according to the coverage area of the area to be shot and the positive shooting coverage area of the unmanned aerial vehicle aerial shooting module.
Further, after the photo attribute of the photo is acquired through the unmanned aerial vehicle aerial photographing module, the step of judging whether the photo is a positive photo through the orthoimage analysis terminal comprises the following steps:
judging whether the photo is a positive photo or not according to the photo attribute of the photo;
if the photo is a positive photo, returning to the step of sending a shooting instruction to the unmanned aerial vehicle aerial photo module, and shooting the next photo;
and if the photo is not the positive photo, returning to the step of sending the shooting instruction to the unmanned aerial vehicle aerial photo module, and shooting the photo again.
Further, judging whether the photo is a positive photo according to the photo attribute of the photo, including:
acquiring the pitch angle of the photo from the photo attribute of the photo, and judging whether the pitch angle is in a first angle range;
if the pitch angle of the photo is in the first angle range, further acquiring the course angle of the photo from the photo attribute of the photo;
judging whether the course angle of the photo is in a second angle range;
and if the course angle of the photo is in a second angle range, determining that the photo is a positive photo.
Further, the calculating the four-to-range of each photo by adopting a four-to-range operation method according to the photo attribute of each photo includes:
establishing a planar rectangular coordinate system, and placing the unmanned aerial vehicle aerial photographing module and the area to be photographed into the planar rectangular coordinate system;
acquiring shooting point coordinates (x, y), a picture pixel width and a picture pixel length corresponding to the picture according to the picture attributes of the picture;
calculating four-to-coordinates of the photo according to a formula 1, wherein the four-to-coordinates comprise an upper left coordinate, a lower left coordinate, an upper right coordinate and a lower right coordinate;
wherein the content of the first and second substances,
is the upper left coordinate and the lower left coordinate,
is the lower left coordinate and the lower left coordinate,
is the coordinate of the upper right part of the body,
is the lower right coordinate, pix is the resolution, x is the abscissa of the shot point, y is the ordinate of the shot point, h is the picture pixel width, wIs the photo pixel length.
Further, splice the photo that all unmanned aerial vehicle aerial photograph modules shot together, generate orthoscopic image, include:
and selecting a photo shot by the unmanned aerial vehicle aerial photographing module, and searching all photos close to the photo based on an accelerated robust feature algorithm and a dark spot detection algorithm.
And splicing the picture and all pictures adjacent to the picture according to the four-to-coordinate of the picture and the four-to-coordinate of all pictures adjacent to the picture.
And repeatedly executing the steps of searching adjacent photos and splicing photos until all photos are spliced, and finally generating a complete orthoimage.
Further, before sending a shooting instruction to the unmanned aerial vehicle aerial shooting module, the method for generating an orthoimage further includes:
respectively calculating the linear distances between the area to be shot and each unmanned aerial vehicle stop point, and sequencing the linear distances from short to long;
and calling the unmanned aerial vehicle aerial photographing module of the unmanned aerial vehicle stop point with the shortest linear distance to the area to be photographed for photographing.
Further, the unmanned aerial vehicle module of taking photo by plane is a plurality of, and before sending the shooting instruction to unmanned aerial vehicle module of taking photo by plane, the method for generating orthoimage still includes:
respectively acquiring the residual electric quantity of each unmanned aerial vehicle aerial photographing module;
calculating the residual shooting range of each unmanned aerial vehicle aerial shooting module based on the residual electric quantity and the positive shooting coverage range of each unmanned aerial vehicle aerial shooting module;
calculating the proportional relation of the residual shooting ranges among the plurality of unmanned aerial vehicle aerial shooting modules, distributing the actual shooting range of each unmanned aerial vehicle according to the proportional relation, wherein the sum of the actual shooting ranges of the plurality of unmanned aerial vehicle aerial shooting modules is the coverage range of the area to be shot.
Further, after tile segmentation and slice storage are performed on the orthoimages formed by stitching, the method for generating the orthoimages further comprises the following steps:
and transmitting the ortho-image to a map application through an API (application programming interface), and establishing a mapping relation between the ortho-image and the geographic position in the map application.
The present application also relates to an orthoimage generation system, comprising:
the unmanned aerial vehicle aerial photography module is used for shooting a photo of an area to be shot; a camera lens of the unmanned aerial vehicle aerial photographing module is perpendicular to the ground of the area to be photographed;
the control terminal is in communication connection with the unmanned aerial vehicle aerial photographing module and is used for calculating the forward photographing coverage range of the unmanned aerial vehicle aerial photographing module and the number of forward photographs to be photographed, sending a photographing instruction to the unmanned aerial vehicle aerial photographing module to control the unmanned aerial vehicle aerial photographing module to photograph and judging whether the photographs photographed by the unmanned aerial vehicle aerial photographing module are forward photographs or not according to the photograph attributes of the photographs;
and the server is in communication connection with the control terminal and is used for calculating the four-to-range of each photo by adopting a four-to-range operation method according to the photo attribute of each photo, acquiring all photos shot by the unmanned aerial vehicle aerial photographing module through the unmanned aerial vehicle aerial photographing module, splicing all photos shot by the unmanned aerial vehicle aerial photographing module together, generating and storing an orthoimage.
The application relates to a method and a system for generating an orthoimage, a plurality of orthophotos of a region to be shot are shot through a control unmanned aerial vehicle aerial photo module, the plurality of orthophotos are spliced together, the orthoimage of the region to be shot is generated, finally, the orthoimage formed by splicing is subjected to tile segmentation and slice storage, the orthoimage is generated in a mode of shooting through an unmanned aerial vehicle, the trouble of obtaining an image through a satellite is avoided, operation can be carried out at any time, a high-definition ground image is generated on line, local tile data can be updated on line, light-weight local dynamic updating is achieved, updating is real-time, and convenience is achieved.
Drawings
Fig. 1 is a schematic flowchart illustrating a method for generating an orthoimage according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an orthoimage generation system according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The application provides a method for generating an orthoimage. The method for generating an orthoimage provided by the present application is applied to any area to be photographed having a photographing authority. The area to be shot can be mountains, rivers, scenic spots, historic sites and the like.
In addition, the method for generating the orthoimage provided by the application is not limited to the execution subject. Optionally, an executive subject of the method for generating an orthoimage provided by the present application may be an orthoimage generating system. The orthophoto generation system comprises an unmanned aerial vehicle aerial shooting module 10, a control terminal 20 and a server 30.
The control terminal 20 is provided with a display screen for displaying various data.
Some control operations in the orthoimage generating method may be implemented by an application program in the control terminal 20.
The installation process of the application is briefly described. After the installation package is copied into the control terminal 20, the installation program is started by clicking an installation button on the display screen, and the display screen pops up an installation guide dialog box to prompt a user to complete installation of the application program according to the installation guide.
The authorization process for an application is briefly described. After the application is installed, when the application is started for the first time, the display screen pops up an unauthorized prompt box and a blank text box. The authorization code can be input in the text box, and then the authorization button is clicked to carry out authorization, and the step is equivalent to the step of verifying the identity information of the user.
The control terminal 20 includes a user management module. The user needs to register an account and realize the function in the application program through a login account. The user management module stores account information of the user.
The registration process of the user account is briefly explained. And after the authorization is finished, popping up an account login interface on a display screen, and clicking a registration button to guide to a registration page. And in the registration page, the account registration is completed after the verification is passed by filling in the identity information and the correct verification code.
After account registration is complete, one may choose to enter an "online login" or "offline login" mode. When the mode of online login is selected, the control terminal 20 needs to be connected with the network, and when the mode of offline login is selected, the registered mobile phone number and password are input, and the user can login after the registered mobile phone number and password are correct.
The user management module may provide functions or operations such as password modification, data backup, version information, help, opinion feedback, and log-out. These functions or operations may be implemented through a personal center in the application.
As shown in fig. 1, in an embodiment of the present application, the method for generating an orthoimage includes the following steps S100 to S800:
and S100, calculating the positive shooting coverage range of the unmanned aerial vehicle aerial shooting module 10 and the number of positive photos needing to be shot.
Specifically, the control terminal 20 is in communication connection with one unmanned aerial vehicle aerial photography module 10, and the communication mode may be a 4G/5G network, and may also be other communication connection modes that can perform remote communication.
This step is a process of parameter setting. The control terminal 20 may calculate the parameters through a local processor of the control terminal 20, and input the parameters to a parameter setting module in the control terminal 20 for storage.
In this step, the control terminal 20 calculates the coverage of the unmanned aerial vehicle aerial photography module 10 in advance. The drone photography module 10 may include a drone and a camera mounted on the drone. When the camera lens of the camera is perpendicular to the ground of the area to be shot, the shot picture is a positive shot picture. The camera now has a coverage for taking a shot, defined herein as a forward shot coverage.
By calculating the number of positive photos that need to be taken by the control terminal 20, it can be determined how many positive photos need to be taken subsequently.
Optionally, the control terminal 20 further includes a task creation module. After the coverage of the positive shots and the number of the positive shots needing to be shot are calculated, the shooting task can be created through the task creating module. Specifically, the "add" button on the upper right of the main interface may be clicked, and the task add interface is entered after the basic information of the project is filled. And clicking a 'new adding' button on the upper right of the task list interface, automatically naming the task name, and modifying the task name by self.
In another embodiment, the coverage of the forward shots and the number of forward shots to be taken may also be performed by the server 30. After the calculation, the server 30 sends the calculated coverage area of the positive shots and the number of the positive shots to be taken to the control terminal 20.
S200, sending a shooting instruction to the unmanned aerial vehicle aerial shooting module 10 to control the unmanned aerial vehicle aerial shooting module 10 to shoot a photo. The camera lens of the unmanned aerial vehicle aerial photography module 10 is perpendicular to the ground of the area to be photographed.
Specifically, the control terminal 20 further includes an airline planning module. The route planning module has the function of automatically planning a route and the function of automatically generating the coordinates of each shooting point. The flight path is composed of a plurality of shooting points. Before the control terminal 20 sends a shooting instruction to the unmanned aerial vehicle aerial shooting module 10, the control terminal 20 may automatically generate a route of the unmanned aerial vehicle aerial shooting module 10 and coordinates of each shooting point in the route according to the aforementioned set parameters and the geographic position of the area to be shot by the route planning module.
Optionally, after the flight path is generated, a "one-click shooting" button on the control terminal 20 is clicked, a step of sending a shooting instruction to the unmanned aerial vehicle aerial shooting module 10 by the control terminal 20 is triggered, and the unmanned aerial vehicle aerial shooting module 10 takes off from a stop point of the unmanned aerial vehicle and goes to a region to be shot to take a picture.
In the flight process, the control terminal 20 can send control instructions such as flight pause, flight continuation, flight stop, return flight to the unmanned aerial vehicle aerial photography module 10.
S300, acquiring photo attributes of the photos through the unmanned aerial vehicle aerial photographing module 10.
Specifically, after the unmanned aerial vehicle aerial photography module 10 takes a photo, the photo attribute data of the photo is sent to the control terminal 20, and the control terminal 20 obtains the photo attribute data and reads the photo attribute of the photo. After that, the process returns to step S200 to continue taking the next picture.
And S400, judging whether the photo is a positive photo.
Specifically, the control terminal 20 may determine whether the photograph is a taking photograph based on the photograph attribute data of the photograph. And if the photo is the positive photo, returning to the step S200 and continuously shooting the next photo. The control terminal 20 may also forward the photo attribute data of each photo to the server 30.
And S500, repeatedly executing the steps S200 to S300 until the number of the photos shot by the unmanned aerial vehicle aerial shooting module 10 reaches the number of the positive photos required to be shot.
Specifically, the number of positive photographs that need to be taken has already been calculated in step S100. After the control terminal 20 determines that one photo is a positive photo, it is determined whether the number of photos shot by the unmanned aerial vehicle aerial photographing module 10 reaches the number of positive photos to be shot, and if the number of positive photos to be shot reaches, the subsequent step S600 is executed. And if the number of the positive photos to be shot is not reached, returning to the step S200 to continue shooting the next photo.
It should be noted that, after all the positive photos are taken, the control terminal 20 further obtains all the positive photos from the unmanned aerial vehicle aerial photographing module 10, and uploads all the positive photos to the server 30.
S600, calculating the four-to-range of each photo by adopting a four-to-range operation method according to the photo attribute of each photo.
Specifically, determining the four-to-range of the photograph may determine the location of the photograph in the area to be photographed. In this step, the server 30 may calculate the four-to-range of each photo.
S700, all photos shot by the unmanned aerial vehicle aerial shooting module 10 are obtained through the unmanned aerial vehicle aerial shooting module 10, and the photos shot by the unmanned aerial vehicle aerial shooting module 10 are spliced together to generate an orthophoto image.
Specifically, after all photos are taken, the server 30 acquires all the taken photo files from the unmanned aerial vehicle aerial photographing module 10 instead of taking one photo and transmitting one photo, so that the working efficiency of the unmanned aerial vehicle aerial photographing module 10 is higher. The orthographic image shows the full view of the area to be shot under an orthographic visual angle. Optionally, the unmanned aerial vehicle aerial photography module 10 sends all positive photographs to the control terminal 20, and uploads the positive photographs to the server 30 through the control terminal 20.
In this embodiment, shoot many positive photos of waiting to shoot the region through control unmanned aerial vehicle module 10 of taking photo by plane, splice many positive photos together, generate the orthoimage of waiting to shoot the region, the final orthoimage that will splice the formation carries out the tile and cuts apart and the storage of section, the mode of having realized shooting through unmanned aerial vehicle generates the orthoimage, not only has broken away from the satellite and has acquireed the trouble of image, can carry out the operation at any time, generate the ground image of high definition on line, and can update local tile data on line, realize lightweight local dynamic update, and the update is real-time, therefore, the system is very convenient.
In an embodiment of the present application, the step S100 includes:
and S110, acquiring a preset photo precision requirement.
Specifically, the preset photo precision requirement may be a preset resolution pix.
And S120, determining the shooting height of the unmanned aerial vehicle aerial shooting module 10 according to the preset photo precision requirement.
Specifically, the control terminal 20 may calculate the shooting height of the unmanned aerial vehicle aerial photographing module 10 according to the equation of the resolution being shooting height × sensor size × focal length. The sensor size is the size parameter of the sensor of the camera in the unmanned aerial vehicle module 10 that takes photo by plane, and the focus is the focus of camera. The sensor size and focal length are both fixed parameters of the camera and the resolution is a known quantity in step S110.
The shooting height is the height of the camera relative to the bottom surface of the area to be shot.
S130, calculating the forward shooting coverage range of the unmanned aerial vehicle aerial shooting module 10 according to the shooting height of the unmanned aerial vehicle aerial shooting module 10 and the parameters of the unmanned aerial vehicle aerial shooting module 10.
Specifically, in this step, the control terminal 20 may calculate the forward coverage of the unmanned aerial vehicle aerial image module 10 by shooting the height and the parameters of the unmanned aerial vehicle aerial image module 10.
And S140, acquiring the coverage area of the area to be shot, and calculating the number of the positive photos to be shot according to the coverage area of the area to be shot and the positive shooting coverage area of the unmanned aerial vehicle aerial shooting module 10.
Specifically, for example, if the coverage of the aerial photography module 10 of the unmanned aerial vehicle is 15.2 centimeters × 10.2 centimeters, that is, the size of a 6-inch photo, and the coverage of the area to be photographed is 1520 meters × 1020 meters, the number of the positive photos to be photographed is 1 ten thousand.
Above-mentioned unmanned aerial vehicle module 10 that takes photo by plane's coverage, the height of shooing, the required quantity isoparametric of taking the photo by plane of resolution ratio pix, the parameter setting module that all can input to in control terminal 20 preserves to make the shooting of next time remove the trouble of resetting the parameter again.
In this embodiment, calculate unmanned aerial vehicle module 10 that takes an aerial photograph coverage through control terminal 20 to and calculate the quantity of the positive photo that needs shoot according to taking an aerial photograph coverage, provide data support for follow-up unmanned aerial vehicle module 10 that takes an aerial photograph's actual shooting process.
In an embodiment of the application, after the step S300, the method for generating an orthoimage further includes:
and S410, judging whether the photo is a positive photo or not according to the photo attribute of the photo.
And S420, if the picture is a positive shot picture, returning to the step S200 to shoot the next picture.
And S430, if the photo is not the positive photo, returning to the step S200, and shooting the photo again.
Specifically, after each photo is taken, the control terminal 20 has acquired the photo attributes of the photo, and the control terminal 20 needs to perform a photo-taking verification process for each photo due to uncertainty of the quality of the photo.
After verifying whether the photograph is a positive photograph, the control terminal 20 transmits the verification result to the server 30. The verification result is the analysis result.
The analysis result transmitted from the control terminal 20 to the server 30 also includes photo attribute data of each photo.
In this embodiment, through carrying out the quality verification of positive photo to the photo that unmanned aerial vehicle aerial photograph module 10 was shot, can avoid appearing the photo that has the shooting angle error in the final orthographic image.
In an embodiment of the present application, the step S410 includes:
s411, obtaining the pitch angle of the photo from the photo attribute of the photo, and judging whether the pitch angle is in a first angle range.
S412, if the pitch angle of the photo is in the first angle range, further acquiring the course angle of the photo from the photo attribute of the photo.
And S413, judging whether the course angle of the picture is in a second angle range.
And S414, if the course angle of the photo is in a second angle range, determining that the photo is a positive photo.
Specifically, the first angle range and the second angle range may not be particularly limited. Because the pitch angle of the positive shot picture should be-90 degrees, roll should be 0 degrees, consider that outdoor flight receives images such as weather, dust haze, first angle scope and the second angle scope in this step can be slightly wide range in numerical value. The first angle range may be an angle range of-87 ° or more and-93 ° or less. The second angle range may be an angle range of equal to or greater than-3 ° and equal to or less than 3 °.
In this embodiment, the control terminal 20 determines the pitch angle and the course angle of the photo, so as to accurately and quickly determine whether the photo is a standard positive photo.
In an embodiment of the present application, the step S600 includes the following steps S610 to S630:
s610, a plane rectangular coordinate system is established, and the unmanned aerial vehicle aerial photography module 10 and the area to be photographed are all placed in the plane rectangular coordinate system.
Specifically, the unmanned aerial vehicle aerial photography module 10 and the height of the area to be photographed are different, but the server 30 can be used for placing the unmanned aerial vehicle aerial photography module and the area to be photographed into the rectangular plane coordinate system, so that the camera position of the unmanned aerial vehicle corresponds to the area to be photographed. Alternatively, one point in the region to be photographed may be used as the origin of coordinates.
S620, acquiring shooting point coordinates (x, y), picture pixel width and picture pixel length corresponding to the picture according to the picture attributes of the picture.
Specifically, parameters of the unmanned aerial vehicle aerial photography module 10 include a photo pixel width and a photo pixel length, and belong to fixed parameters.
And S630, calculating four-to-coordinates of the photo according to formula 1, wherein the four-to-coordinates comprise an upper left coordinate, a lower left coordinate, an upper right coordinate and a lower right coordinate.
Wherein the content of the first and second substances,
the upper left coordinate.
The lower left coordinate.
The upper right coordinate.
The lower right coordinate. pix is the resolution. x is the abscissa of the shot point. y is the ordinate of the shot point. h is the photo pixel width. w is the photo pixel length. i is the number of the photograph.
Specifically, the server 30 calculates the upper left coordinate, the lower left coordinate, the upper right coordinate, and the lower right coordinate, and maps the positions of the area where the picture is taken and the area to be taken.
In this embodiment, the server 30 establishes the rectangular plane coordinate system, will the unmanned aerial vehicle module 10 that takes an aerial photograph with the area of waiting to take all puts into rectangular plane coordinate system to four to the coordinate of photo is calculated based on rectangular plane coordinate system, makes the regional mapping of establishing the position with waiting to take the region of photo shooting, provides the basis for the concatenation of follow-up photo.
In an embodiment of the present application, the step S700 includes the following steps S710 to S730:
s710, selecting a photo shot by the unmanned aerial vehicle aerial photographing module 10, and searching all photos close to the photo based on an accelerated robust feature algorithm and a dark spot detection algorithm;
s720, splicing the photo and all photos adjacent to the photo according to the four-to-coordinate of the photo and the four-to-coordinate of all photos adjacent to the photo;
and S730, repeatedly executing the steps S710 to S720 until all the photos are spliced, and finally generating a complete orthoimage.
In particular, the server 30 further comprises a feature matching module. The step S710 includes:
s711, the feature matching module of the server 30 performs feature point matching on the photo and all other photos through the accelerated robust feature algorithm to obtain a plurality of groups of feature point pairs. Each group of characteristic point pairs comprises a plurality of characteristic point pairs.
For example, if the selected photo is photo a, then photo a and another photo B may be passed through for feature point matching by the accelerated robust feature algorithm. Specifically, a plurality of first feature points uniformly distributed around the physical center point of the photograph a and a plurality of second feature points uniformly distributed around the physical center point in the photograph B may be analyzed, and two feature point pairs are formed.
The step S710 further includes:
and S712, the characteristic matching module analyzes and screens each characteristic point pair by using a dark point detection algorithm, and removes the dark point pairs in the characteristic point pairs.
Specifically, the feature matching module of the server 30 respectively forms a square first pixel region by extending outward with a first feature point in the feature point pair as a center and forms a square second pixel region with the same size as the first pixel region by extending outward with a second feature point as a center. And analyzing the RGB value of each point in the first pixel region and the second pixel region, and regarding the pixel points of which the R, G, B values are more than 120 in the first pixel region and the second pixel region as dark pixel points. And if the number of the dark pixel points in one pixel area is more than 60%, the pixel area is a dark pixel area. The ratio of the number of the dark pixel points to the total number of the pixel points in the pixel area is more than 60 percent, namely the ratio of the number of the dark pixel points in one pixel area to the total number of the pixel points in the pixel area is more than 60 percent. And marking the characteristic point pairs with the dark pixel point number of one of the first pixel area and the second pixel area being more than 60% as dark point pairs, and removing the dark point pairs. That is, if one of the first pixel region and the second pixel region corresponding to one feature point pair is a dark pixel region, the feature point pair is a dark point pair.
The first pixel region and the second pixel region may be set as needed. In the present invention, the first pixel region and the second pixel region are N × N pixel regions, and N is an odd number greater than 1. Specifically, in the present invention, the first pixel region and the second pixel region are 5 × 5 pixel regions, and the first feature point and the second feature point are located at the centers of the first pixel region and the second pixel region, respectively.
The server 30 also includes a photo stitching module. The photo stitching module of the server 30 stitches the photo and all photos adjacent to the photo according to the coordinates of the photo and the coordinates of all photos adjacent to the photo. After the splicing process is repeated, a complete orthoimage can be generated.
In this embodiment, the server 30 runs the acceleration robust feature algorithm and the dark spot detection algorithm, so that the multiple photos can be quickly and accurately spliced, and the overall view of the area to be photographed is restored to the maximum extent.
In an embodiment of the present invention, after the step S700, the method for generating an orthoimage further includes the steps of:
and S800, performing tile segmentation and slice storage on the spliced orthoimage.
In particular, the server 30 further comprises a slice ranking module. The slice grading module performs tile segmentation on the orthoimage, different slice grades are automatically generated according to a compression technology, and the higher the grade number is, the higher the resolution ratio is, and the smaller the grade number is, the lower the resolution ratio is. The different slice hierarchies form a tile pyramid.
When tile segmentation is performed on an ortho image, the slice classification module performs segmentation based on the slice parameters. The slice parameters include slice level, picture quality, picture resolution, and tile size. The slice level is the optimal level after the orthoimage compression. The picture quality is in the range of 50-90. The default photo quality is 75. According to the compression ratio, the optimal resolution of the picture after the orthoimage compression can be calculated. According to the compression ratio, the number of pixels of each tile can be calculated.
After tile segmentation is performed on the orthoimage, slice storage is performed, specifically, slice storage is performed in a WEB mercator projection grid mode. Second, the row and column number, four to coordinates, and resolution of each tile may be recorded at the time of storage. Thirdly, according to the level, the row and column number, the four-to-coordinate and the resolution of each tile, an index is established by adopting a BX tree method, so that the orthoimage can be locally updated. The sliced stored data may be stored on the server 30.
In this embodiment, tile segmentation and slice storage are performed on the orthoimage formed by splicing, so that light-weight dynamic update of the orthoimage can be realized by updating local tile data on line.
In an embodiment of the present invention, before the step S200, the method for generating an orthoimage further includes the following steps S151 to S152:
s151, respectively calculating the linear distances between the area to be shot and the stop points of the unmanned aerial vehicles, and sequencing the linear distances from short to long;
and S152, the unmanned aerial vehicle aerial photography module 10 of the unmanned aerial vehicle stop point with the shortest straight-line distance to the area to be photographed is called for photographing.
Specifically, the present embodiment introduces the deployment strategy of the unmanned aerial vehicle aerial photography module 10. Because unmanned aerial vehicle module 10 of taking photo by plane when shooing, takes off from the unmanned aerial vehicle stop point, goes to the area of waiting to shoot and shoots. Therefore, it takes time and electric power of the drone to travel to the area to be photographed. A
In this embodiment, control terminal 20 through transfer with treat the unmanned aerial vehicle module 10 of taking photo by plane of the unmanned aerial vehicle stop point that the regional linear distance of shooting is the shortest shoots, saved unmanned aerial vehicle module 10 that takes photo by plane's time of navigating and navigation power consumption.
In an embodiment of the application, the number of the unmanned aerial vehicle aerial photography modules 10 is multiple, and before the step S200, the method for generating an orthoimage further includes the following steps S161 to S163:
s161, respectively acquiring the residual electric quantity of each unmanned aerial vehicle aerial photography module 10.
And S162, calculating the residual shooting range of each unmanned aerial vehicle aerial shooting module 10 based on the residual electric quantity and the forward shooting coverage range of each unmanned aerial vehicle aerial shooting module 10.
And S163, calculating the proportional relation of the residual shooting ranges among the plurality of unmanned aerial vehicle aerial shooting modules 10, and distributing the actual shooting range of each unmanned aerial vehicle according to the proportional relation, wherein the sum of the actual shooting ranges of the plurality of unmanned aerial vehicle aerial shooting modules 10 is the coverage range of the area to be shot.
Specifically, each unmanned aerial vehicle stop has a plurality of unmanned aerial vehicle modules 10 that take photo by plane. This embodiment is applicable to treating that the regional coverage area of shooing is great, needs the operation scene of a plurality of unmanned aerial vehicle modules 10 collaborative operation that take photo by plane.
For example, in one embodiment, there are 2 drone aerial modules 10 working in coordination, and first, it is necessary to obtain the power of two drone aerial modules 10, for example, one drone aerial module 10 (named drone aerial module a) has 60% power, and the other drone aerial module 10 has 30% power (named drone aerial module B). Secondly, the positive shooting coverage range of each unmanned aerial vehicle aerial shooting module 10 is obtained. Further, the remaining shooting range of each unmanned aerial vehicle aerial shooting module 10 is calculated according to the remaining power and the forward shooting coverage. For example, through calculation, the remaining photographable range of the unmanned aerial vehicle aerial photography module a is 100 square meters, the remaining photographable range of the unmanned aerial vehicle aerial photography module B is 50 square meters, and the ratio is 2 to 1, so that 2/3 of the area to be photographed is allocated to the unmanned aerial vehicle aerial photography module a, 1/3 of the area to be photographed is allocated to the unmanned aerial vehicle aerial photography module B, and thus the smoothness of the photographing process can be ensured.
This step may be performed by the control terminal 20 or by the server 30.
This embodiment can ensure when a plurality of unmanned aerial vehicle modules 10 of taking photo by plane cooperative work, the distribution of shooting resource is rationalized.
In an embodiment of the present invention, after the step S700, the method for generating an orthoimage further includes the steps of:
s910, transmitting the ortho image to a map application through an API (application programming interface), and establishing a mapping relation between the ortho image and a geographic position in the map application.
And S920, monitoring whether the image updating request sent by the map application is received in real time.
S930, when receiving the image update request sent by the map application, reading the geographical location information included in the image update request.
And S940, locally updating the orthoimage subjected to slice storage according to the geographic position information, and generating an updated orthoimage.
And S950, transmitting the updated orthographic image to the map application through the API.
In particular, a third party's map application, i.e. a third party map application program, may send a service address to the server 30. The server 30 transmits the ortho-image to the third-party map application program through the API interface according to the service address, so as to establish a mapping relationship between the ortho-image and the geographic position in the third-party map application program. The map service supports HTTP and HTTPs protocols. The map service adopts the OGC WMTS standard.
In this embodiment, the ortho image may also be locally updated in real time. As already mentioned in the foregoing, the ortho images are stored by slicing. Then, an index can be established by adopting a BX tree method according to the level, the row and column number, the four-to-coordinate and the resolution of each tile, so that the orthoimage can be locally updated, the updating is convenient and the updating speed is high.
In the embodiment, the image map API service is issued based on the ortho image, data are provided for the high-definition ortho image simulating service, the data updating cost is reduced, and the third-party platform user can browse the data conveniently. A
As shown in fig. 2, the present application further provides an orthoimage generating system, which includes an unmanned aerial vehicle aerial photography module 10, a control terminal 20, and a server 30. The control terminal 20 is in communication connection with the unmanned aerial vehicle aerial photography module 10. The server 30 is connected to the control terminal 20 in a communication manner.
The server 30 is configured to calculate a range of four to four of each photo by using a four to four operation method according to the photo attribute of each photo, acquire all photos taken by the unmanned aerial vehicle aerial photographing module 10 through the unmanned aerial vehicle aerial photographing module 10, splice all photos taken by the unmanned aerial vehicle aerial photographing module 10 together, generate an orthoimage, and store the orthoimage.
The technical features of the embodiments described above may be arbitrarily combined, the order of execution of the method steps is not limited, and for simplicity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the combinations of the technical features should be considered as the scope of the present description.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. An ortho image generation method, comprising:
s100, calculating the forward shooting coverage range of the unmanned aerial vehicle aerial shooting module and the number of forward photos to be shot;
s200, sending a shooting instruction to an unmanned aerial vehicle aerial shooting module to control the unmanned aerial vehicle aerial shooting module to shoot a photo; a camera lens of the unmanned aerial vehicle aerial photographing module is perpendicular to the ground of an area to be photographed;
s300, acquiring photo attributes of the photos through an unmanned aerial vehicle aerial photographing module;
s400, judging whether the photo is a positive photo or not according to the photo attribute of the photo;
s500, repeatedly executing the step S200 to the step S400 until the number of the photos shot by the unmanned aerial vehicle aerial photographing module reaches the number of the positive photos to be shot;
s600, calculating the four-to-range of each photo by adopting a four-to-range operation method according to the photo attribute of each photo;
s700, acquiring photos shot by all unmanned aerial vehicle aerial photographing modules through the unmanned aerial vehicle aerial photographing modules, splicing the photos shot by all unmanned aerial vehicle aerial photographing modules together, and generating an orthoimage;
and S800, performing tile segmentation and slice storage on the spliced orthoimage.
2. The method for generating an ortho image according to claim 1, wherein the step S100 includes:
s110, acquiring a preset photo precision requirement;
s120, determining the shooting height of the unmanned aerial vehicle aerial shooting module according to the preset photo precision requirement;
s130, calculating a forward shooting coverage range of the unmanned aerial vehicle aerial shooting module according to the shooting height of the unmanned aerial vehicle aerial shooting module and parameters of the unmanned aerial vehicle aerial shooting module;
s140, acquiring the coverage area of the area to be shot, and calculating the number of the positive photos to be shot according to the coverage area of the area to be shot and the positive shooting coverage area of the unmanned aerial vehicle aerial shooting module.
3. The method for generating an ortho image as claimed in claim 2, wherein said step S400 comprises:
s410, judging whether the photo is a positive photo or not according to the photo attribute of the photo;
s420, if the photo is a positive photo, returning to the step S200 to shoot the next photo;
and S430, if the photo is not the positive photo, returning to the step S200, and shooting the photo again.
4. The method for generating an ortho image as claimed in claim 3, wherein said step S410 includes:
s411, acquiring a pitch angle of the photo from the photo attribute of the photo, and judging whether the pitch angle is in a range larger than a first angle;
s412, if the pitch angle of the photo is in the first angle range, further acquiring the course angle of the photo from the photo attribute of the photo;
s413, judging whether the course angle of the picture is larger than a second angle range;
and S414, if the course angle of the photo is in a second angle range, determining that the photo is a positive photo.
5. The method for generating an ortho image as claimed in claim 4, wherein said step S600 comprises:
s610, establishing a plane rectangular coordinate system, and placing the unmanned aerial vehicle aerial photographing module and the area to be photographed into the plane rectangular coordinate system;
s620, acquiring shooting point coordinates (x, y), a picture pixel width and a picture pixel length corresponding to the picture according to the picture attribute of the picture;
s630, calculating four-to-coordinates of the photo according to formula 1, wherein the four-to-coordinates comprise an upper left coordinate, a lower left coordinate, an upper right coordinate and a lower right coordinate;
wherein the content of the first and second substances,
is the upper left coordinate and the lower left coordinate,
is the lower left coordinate and the lower left coordinate,
is the coordinate of the upper right part of the body,
is the lower right coordinate, pix is the resolution, x is the abscissa of the shot point, y is the ordinate of the shot point, h is the photo pixel width, and w is the photo pixel length.
6. The method for generating an ortho image according to claim 5, wherein the step S700 comprises:
s710, selecting a photo shot by the unmanned aerial vehicle aerial photographing module, and searching all photos close to the photo based on an accelerated robust feature algorithm and a dark spot detection algorithm;
s720, splicing the photo and all photos adjacent to the photo according to the four-to-coordinate of the photo and the four-to-coordinate of all photos adjacent to the photo;
and S730, repeatedly executing the steps S710 to S720 until all the photos are spliced, and finally generating a complete orthoimage.
7. The method for generating an ortho image according to claim 6, wherein before the step S200, the method for generating an ortho image further comprises:
s151, respectively calculating the linear distances between the area to be shot and the stop points of the unmanned aerial vehicles, and sequencing the linear distances from short to long;
and S152, calling the unmanned aerial vehicle aerial photographing module of the unmanned aerial vehicle stop point with the shortest linear distance to the area to be photographed for photographing.
8. The method for generating an ortho-image according to claim 7, wherein there are a plurality of said unmanned aerial vehicle aerial photography modules, and before said step S200, the method for generating an ortho-image further comprises:
s161, respectively acquiring the residual electric quantity of each unmanned aerial vehicle aerial photography module;
s162, calculating the residual shooting range of each unmanned aerial vehicle aerial shooting module based on the residual electric quantity and the forward shooting coverage range of each unmanned aerial vehicle aerial shooting module;
and S163, calculating the proportional relation of the residual shooting ranges among the plurality of unmanned aerial vehicle aerial shooting modules, and distributing the actual shooting range of each unmanned aerial vehicle according to the proportional relation, wherein the sum of the actual shooting ranges of the plurality of unmanned aerial vehicle aerial shooting modules is the coverage range of the area to be shot.
9. The method for generating an ortho image as claimed in claim 8, wherein after said step S800, the method for generating an ortho image further comprises:
s910, transmitting the ortho image to a map application through an API (application programming interface), and establishing a mapping relation between the ortho image and a geographic position in the map application;
s920, monitoring whether an image updating request sent by the map application is received in real time;
s930, when receiving an image update request sent by the map application, reading geographical location information included in the image update request;
s940, locally updating the orthoimage subjected to slice storage according to the geographic position information to generate an updated orthoimage;
and S950, transmitting the updated orthographic image to the map application through the API.
10. An ortho image generation system, comprising:
the unmanned aerial vehicle aerial photography module is used for shooting a photo of an area to be shot; a camera lens of the unmanned aerial vehicle aerial photographing module is perpendicular to the ground of the area to be photographed;
the control terminal is in communication connection with the unmanned aerial vehicle aerial photographing module and is used for calculating the forward photographing coverage range of the unmanned aerial vehicle aerial photographing module and the number of forward photographs to be photographed, sending a photographing instruction to the unmanned aerial vehicle aerial photographing module to control the unmanned aerial vehicle aerial photographing module to photograph and judging whether the photographs photographed by the unmanned aerial vehicle aerial photographing module are forward photographs or not according to the photograph attributes of the photographs;
and the server is in communication connection with the control terminal and is used for calculating the four-to-range of each photo by adopting a four-to-range operation method according to the photo attribute of each photo, acquiring all photos shot by the unmanned aerial vehicle aerial photographing module through the unmanned aerial vehicle aerial photographing module, splicing all photos shot by the unmanned aerial vehicle aerial photographing module together, generating and storing an orthoimage.
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Denomination of invention: A method and system for generating orthophoto images Granted publication date: 20221111 Pledgee: Zhejiang Hangzhou Yuhang Rural Commercial Bank Co.,Ltd. Science and Technology City Branch Pledgor: Hangzhou Jinao Information Technology Co.,Ltd. Registration number: Y2024980017583 |